Talent Graduate Program Sanofi-Data Scientist

  • Jornada
    Tiempo completo
  • Salario
    25.000,00 €/Mes
  • Tipo de contrato
  • Experiencia
    Sin experiencia
  • Localidad
  • Num. Vacantes
  • Referencia

Have you just graduated in economics, marketing or similar and want to start developing your professional career in the marketing area?

Sanofi is one of the world's leading pharmaceutical companies, whose purpose is to improve people's lives, it offers you the opportunity to develop your professional career. Keep reading, and don't miss out on this opportunity!

What is the Sanofi Graduate Program? It is a program through which you will have the opportunity to work at Sanofi with an internship contract.

With these practices, you will live an experience in an innovative and challenging environment. Ideally, for an active person who wants to expand his knowledge.

You will be part of a team of people specialized in the Pharma sector who will accompany you from day one and will give you all the information you need to achieve your purpose within the company.

If something characterizes Sanofi, it is the proximity and concern for all the people who are part of it, so do not be afraid if you do not have experience in the sector, as long as you are motivated.

The contract is a 12-month internship, with a 25,000 salary + 5% bonus, enjoy an extensive online training package from the first day, ticket restaurant.


The data scientist (DS) is a key enabler for the achievement of Sanofi's objectives of leveraging data, digital, and ML-based solutions to drastically improve marketing, and financial operations. Discovering and implementing solutions using data is critical to the success of this role.

The DS plays a key role in the deployment and continuous improvement of machine learning pipelines generating insights for business. He/she is required to leverage and synthesize large volumes of heterogeneous data, evaluate the performance of existing models, and develop new machine learning pipelines in order to

enhance the business's understanding of individual population segments, and investment outcomes, anticipate changes in our customer patterns, etc.

The DS will be involved in projects of different natures such as time series forecasting, data segmentation, natural language processing, constraint programming and optimization across the whole Sanofi organization.


Key responsibilities include but are not limited to:

· Work under the supervision of his tutor/a within the EIM-DS team

· Implementation of new machine learning pipelines following the guidelines of senior scientists

· Identify potential improvements to existing models

· Exploratory analysis and integration of new datasets

· Design and implementation of experiments to validate or determine the adoption of state-of-the-art machine learning algorithms

· Deployment, running, monitoring and postmortem analysis of machine learning models with a special focus on Marketing Mix Models.

· Continuous Improvement of Marketing Mix Solutions

· Advise the business on the potential of new data and algorithm

· Provide new insights to businesses through the use of advanced statistical analysis, data mining, and data visualization techniques

· Help harmonise and standardise solutions between different markets.


· Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Machine Learning, Economics, or any other related quantitative field. Working experience of the equivalent is also acceptable for this position

· The candidate will be familiar with programming and scripting languages like Python and R.

· Background/interest in Artificial Intelligence

· International exposure (University, courses...)

· Experience in interdisciplinary domains (involving scientific, industrial, marketing, and/or commercial stakeholders).

· Knowledge of Machine Learning libraries is a plus

· Knowledge of cloud technology is a plus

· Knowledge of the theory of probability and mathematical statistics is a plus

· Advanced Microsoft Office (PowerPoint, Word, Excel) skills.